104 posts tagged with “ai”

Gartner’s latest supply chain AI research shows real logistics use cases, but also a warning: clean data, workflows, and operating-model maturity still set the pace.

Penske Logistics' Supply Chain Insight platform shows why supply chain visibility is shifting from dashboards toward AI-assisted execution across freight, warehousing, inventory, and partner networks.

AI supply chain projects cannot live on pilot budgets forever. The practical play is to turn early freight, planning, procurement, and fulfillment savings into the next wave of transformation funding.

AI may change logistics work, but blanket entry-level hiring freezes can create costly talent gaps in planning, carrier management, warehousing, and exception control.

Gartner’s 2026 survey shows most supply chain AI programs are still incremental. Logistics teams need governance, clean data, and bounded workflows before orchestration can scale.

Amazon Connect Decisions shows how agentic AI is pushing supply chain planning beyond dashboards toward AI teammates, faster exception handling, and connected logistics execution.

Gartner says supply chain leaders are funding AI while still running today’s operations. Here is a governance model for turning AI budgets into measurable logistics value.

Sustainability is moving from annual ESG reports into shipment-level decisions on routing, inventory, mode selection, and waste.

Supply chain technology is moving from dashboards to execution speed. In 2026, the winners will turn visibility, AI, orchestration, and automation into governed action.

Quantum computing is no longer a theoretical exercise for supply chain leaders. DHL, IBM, and Volkswagen are already running live trials. Here's what logistics operators need to know about where the technology stands — and what to do while quantum solvers mature.